Package: SpatialDecon
Title: Deconvolution of mixed cells from spatial and/or bulk gene
        expression data
Version: 1.4.3
Authors@R: c(person("Nicole", "Ortogero", email = "nortogero@nanostring.com", role = c("cre")),
             person("Patrick", "Danaher", email = "pdanaher@nanostring.com", role = c("aut")),
             person("Maddy", "Griswold", email = "mgriswold@nanostring.com", role = c("aut")))
Description: Using spatial or bulk gene expression data, estimates abundance of mixed cell types
 within each observation. Based on "Advances in mixed cell deconvolution enable quantification
 of cell types in spatially-resolved gene expression data", Danaher (2020). Designed for use with
 the NanoString GeoMx platform, but applicable to any gene expression data. 
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.2
Imports: grDevices, stats, utils, graphics, SeuratObject, Biobase,
        GeomxTools, repmis, methods, Matrix
Suggests: testthat, knitr, rmarkdown, qpdf
biocViews: ImmunoOncology, FeatureExtraction, GeneExpression,
        Transcriptomics
VignetteBuilder: knitr
BugReports: https://github.com/Nanostring-Biostats/SpatialDecon/issues
git_url: https://git.bioconductor.org/packages/SpatialDecon
git_branch: RELEASE_3_14
git_last_commit: 72c2c83
git_last_commit_date: 2021-11-02
Date/Publication: 2021-11-03
NeedsCompilation: no
Packaged: 2021-11-04 03:47:14 UTC; biocbuild
Author: Nicole Ortogero [cre],
  Patrick Danaher [aut],
  Maddy Griswold [aut]
Maintainer: Nicole Ortogero <nortogero@nanostring.com>
Built: R 4.1.1; ; 2021-11-04 13:02:49 UTC; windows
